Manufacturing KPI Dashboard

What is a Manufacturing Dashboard?

As more and more manufacturing data is generated, there is a problem that the most important information that is needed by the organization is hidden and unseen.

A Manufacturing Dashboard helps overcome this problem. Dashboards acts as an aid to decision making process of a business segment, through the transformation of the existing business data. The information is represented visually to give the intended users a clear direction for a smooth decision making process.

Manufacturing KPI Dashboard OEE
Manufacturing OEE KPI

Role of Key Performance Indicators (KPI)

In the tight global competition nowadays, performance measurement has become very important for the management to properly evaluate the company’s performance and to formulate further future goals.

One of the approaches that can be used to measure performance is called Key Performance Indicators or simply KPI. KPIs are financial and non financial measures that organizations use to reveal how successful they were in accomplishing long lasting goals. KPIs lean towards real time data and are used to support in making decisions that can enhance manufacturing performance.

Types of Manufacturing Dashboards

Based on the individual requirements, different users have different dashboards. Higher level executives want to monitor the status of company. On the other hand, Managers analyze the performance-related information. Shop floor personnel are interested in details. Each user needs their own KPIs to be added into their own dashboard. Based on that, there are majorly 3 types of dashboards used in Manufacturing Industries.

  1. Strategy Dashboard
  2. Tactical Dashboard
  3. Operational Dashboard
dashboards for manufacturing industries

Benefits of a Manufacturing KPI Dashboard

Real-time Data

KPI Dashboards have real-time information. User need not to look into files in search for information.

Bigger Picture

Dashboard allows you to visualize the key KPIs and give the user a bird eye view of your business.

Better Communication

KPI Dashboards enables collaboration and communication between departments by sharing the important information.

Manage Inefficiencies

With the help of real-time data, one can identify bottlenecks in their strategies and develop solutions based on facts.

Decision Making

Dashboards can be used to monitor progress, identify common issues, risks and helps you take better decisions.

Competitive Edge

Predictive analysis using KPI Dashboards helps in anticipating trends and possible issues, and gives a competitive edge.

Common KPIs used in Manufacturing Industry

On time delivery KPI manufacturing

On Time Delivery (OTD)

It is an important KPI that ensures that company is meeting customer demand in terms of timely delivery of product supplies.

Scrap Level KPI Manufacturing

Scrap Level

It is the percentage of scrap parts produced in a certain time period out of the total parts (good or bad) produced in that period.

Productivity KPI Manufacturing


It measures whether your factory’s actual operating performance meets your forecasted volumes (daily, weekly or monthly basis).

OEE Manufacturing KPI


Overall Equipment Effectiveness (OEE) is the percentage of total manufacturing time when machinery is truly productive.

Downtime KPI Manufacturing


Downtime is the percentage of total time a machine or an equipment was idle out of the total operating time period.

Production Volume KPI Manufacturing

Production Volume

Production Volume is the total number of units manufactured during a specified period of time.

Inventory Turns KPI Manufacturing

Inventory Turnover

It is the ratio of Cost of goods sold (COGS) / average inventory during a specified time frame.

First Time Yield


First Time Yield (FTY) is measured by dividing total good or non-defective units produced by total units manufactured.

Data Quality

In today's world, data is the most important asset for any company. According to ISO 9000:2015, quality is the “degree to which a set of inherent characteristics of an object fulfills requirements.” Therefore, in our context, quality majorly refers to the extent of the goodness of a thing (for instance, data).  Some of the major dimensions to assess the data quality are:




Integrity or Validity

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